All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
-
Updated
May 24, 2024 - Rust
All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
Doppalf is RAG powered AI chat engine application
Explore how to perform Role Based Access Control in Qdrant Vector Datase
A Proof-of-concept for ingesting data at scale into a Qdrant DB Cluster
A Retrieval Augmentation Generation Based QnA AI Bot developed Based on Company Dataset and Documentation utilizing Gemini Pro LLM
User-friendly interface for creating effective Retrieval Augmented Generation (RAGs)
An innovative application designed to help pharmacists and pharmacy students quickly research FDA-approved drugs by retrieving relevant information from drug labels and adverse event datasets, and providing AI-generated summaries to streamline the learning process
Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!
VoicePassport 🎤is an innovative authentication system leveraging voice recognition technology, blockchain ⛓️ security, and vector databases 📊 for robust and seamless user verification.
Netropolis supports a place where people with shared values can connect digitally to form and operate in a third-place-like community that is neither at home nor at work.
Retrieval Augmented Generation
Retrieval Augmented Generation QnA application with OpenAI and SpringAI
Retrieval Augmented Generation QnA application with Azure OpenAI and SpringAI
RAG powered AI chatbot for Indian Language (Hindi) using LangChain, Ollama, Qdrant, and MLFlow
RAG implementation for https://aidevs.pl course content
A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference, enjoy.
A Retrieval-Augmented Generation (RAG) System for PDF Chat using Qdrant Vector Database.
RAG (Retrieval Augmented Generation) and vector search to translate natural language into SQL queries for PostgreSQL databases.
RAG Backend for Aleph Alpha LLMs.
This repository is a demonstration of deploying Qdrant, a high-performance vector database, in a distributed manner.
Add a description, image, and links to the qdrant-vector-database topic page so that developers can more easily learn about it.
To associate your repository with the qdrant-vector-database topic, visit your repo's landing page and select "manage topics."